{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3XR3X63YXZ4NGUSN2OQYRYYRTL","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a4216fe87d763b8be960c8557db0117257ff82cb456a416e747d5c3382375b08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-05T13:52:55Z","title_canon_sha256":"3b6a49a468668916ba71e0a63ae06fbf9bfc0d533c9cfc66df3fb91b6a2ea3be"},"schema_version":"1.0","source":{"id":"1711.01589","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.01589","created_at":"2026-05-18T00:08:21Z"},{"alias_kind":"arxiv_version","alias_value":"1711.01589v1","created_at":"2026-05-18T00:08:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.01589","created_at":"2026-05-18T00:08:21Z"},{"alias_kind":"pith_short_12","alias_value":"3XR3X63YXZ4N","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3XR3X63YXZ4NGUSN","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3XR3X63Y","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:4a743f4355ce3d52ffc6874ec4106f93fa642a65b6efe1c45cbf7911abc97c12","target":"graph","created_at":"2026-05-18T00:08:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"The availability of low-cost range sensors and the development of relatively robust algorithms for the extraction of skeleton joint locations have inspired many researchers to develop human activity recognition methods using the 3-D data. In this paper, an effective method for the recognition of human activities from the normalized joint trajectories is proposed. We represent the actions as multidimensional signals and introduce a novel method for generating action templates by averaging the samples in a \"dynamic time\" sense. Then in order to deal with the variations in the speed and style of ","authors_text":"Erfan Korki, Hoda Mohammadzade, Saeed Ghodsi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-05T13:52:55Z","title":"Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.01589","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:dafa95b8cb222ff30da6d495e94d8c70b3c701c5688675a83522186c4098c22e","target":"record","created_at":"2026-05-18T00:08:21Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a4216fe87d763b8be960c8557db0117257ff82cb456a416e747d5c3382375b08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-11-05T13:52:55Z","title_canon_sha256":"3b6a49a468668916ba71e0a63ae06fbf9bfc0d533c9cfc66df3fb91b6a2ea3be"},"schema_version":"1.0","source":{"id":"1711.01589","kind":"arxiv","version":1}},"canonical_sha256":"dde3bbfb78be78d3524dd3a188e3119af64a53505df3dfa264e44942a0ae4d97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dde3bbfb78be78d3524dd3a188e3119af64a53505df3dfa264e44942a0ae4d97","first_computed_at":"2026-05-18T00:08:21.429773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:21.429773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1FHUV1GpMZ9mHit6zaTL2VaSoFTry80ig8BGr1KHHueZ2LmrG2iW3LfAXiK3Tetv2/cnRIOu7pLDp4tWqzO+Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:21.430339Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.01589","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dafa95b8cb222ff30da6d495e94d8c70b3c701c5688675a83522186c4098c22e","sha256:4a743f4355ce3d52ffc6874ec4106f93fa642a65b6efe1c45cbf7911abc97c12"],"state_sha256":"ba6975fa98975884fdd788fec0af3d3d1da1c4193ab00a90b542dbeca627713f"}